Epigenetics is a relatively new area of genetics with a focus on phenomena that affect gene expression but do not affect DNA sequence. Epigenetic effects are quasi-stable and may be passed to progeny somatic or germ-line cells. What are known causes of epigenetic effects, and how do they relate to cancer?
Table of contents
- 1. Introduction to Genetics51m
- 2. Mendel's Laws of Inheritance3h 37m
- 3. Extensions to Mendelian Inheritance2h 41m
- 4. Genetic Mapping and Linkage2h 28m
- 5. Genetics of Bacteria and Viruses1h 21m
- 6. Chromosomal Variation1h 48m
- 7. DNA and Chromosome Structure56m
- 8. DNA Replication1h 10m
- 9. Mitosis and Meiosis1h 34m
- 10. Transcription1h 0m
- 11. Translation58m
- 12. Gene Regulation in Prokaryotes1h 19m
- 13. Gene Regulation in Eukaryotes44m
- 14. Genetic Control of Development44m
- 15. Genomes and Genomics1h 50m
- 16. Transposable Elements47m
- 17. Mutation, Repair, and Recombination1h 6m
- 18. Molecular Genetic Tools19m
- 19. Cancer Genetics29m
- 20. Quantitative Genetics1h 26m
- 21. Population Genetics50m
- 22. Evolutionary Genetics29m
19. Cancer Genetics
Overview of Cancer
Struggling with Genetics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
2. What information could cancer researchers gain from using DNA microarrays?
A
The amino acid sequence of mutated proteins in cancer cells
B
The three-dimensional structure of tumor suppressor proteins
C
The rate of DNA replication in healthy tissues
D
Patterns of gene expression in cancerous versus normal cells

1
Understand that DNA microarrays are tools used to measure the expression levels of many genes simultaneously by detecting mRNA levels in a sample.
Recognize that DNA microarrays do not provide information about protein sequences or structures, nor do they measure DNA replication rates directly.
Focus on the fact that DNA microarrays compare gene expression patterns between different samples, such as cancerous and normal cells.
Interpret the data from a DNA microarray to identify which genes are upregulated or downregulated in cancer cells compared to normal cells.
Use these gene expression patterns to gain insights into the molecular mechanisms of cancer, identify potential biomarkers, and develop targeted therapies.
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